- (1 other version)The ethics of algorithms: key problems and solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2021 - AI and Society.details
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What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research.Markus Langer, Daniel Oster, Timo Speith, Lena Kästner, Kevin Baum, Holger Hermanns, Eva Schmidt & Andreas Sesing - 2021 - Artificial Intelligence 296 (C):103473.details
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The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - 2020 - Minds and Machines 30 (1):99-120.details
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Democratizing Algorithmic Fairness.Pak-Hang Wong - 2020 - Philosophy and Technology 33 (2):225-244.details
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Ethics of Artificial Intelligence and Robotics.Vincent C. Müller - 2020 - In Edward N. Zalta (ed.), Stanford Encylopedia of Philosophy. pp. 1-70.details
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Policy advice and best practices on bias and fairness in AI.Jose M. Alvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao & Salvatore Ruggieri - 2024 - Ethics and Information Technology 26 (2):1-26.details
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Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature.Frank Marcinkowski, Birte Keller, Janine Baleis & Christopher Starke - 2022 - Big Data and Society 9 (2).details
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(1 other version)The ethics of algorithms: key problems and solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2022 - AI and Society 37 (1):215-230.details
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Weapons of moral construction? On the value of fairness in algorithmic decision-making.Simona Tiribelli & Benedetta Giovanola - 2022 - Ethics and Information Technology 24 (1):1-13.details
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Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context.Roel Dobbe & Anouk Wolters - 2024 - Minds and Machines 34 (2):1-51.details
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Deep Learning Meets Deep Democracy: Deliberative Governance and Responsible Innovation in Artificial Intelligence.Alexander Buhmann & Christian Fieseler - forthcoming - Business Ethics Quarterly:1-34.details
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From privacy to anti-discrimination in times of machine learning.Thilo Hagendorff - 2019 - Ethics and Information Technology 21 (4):331-343.details
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Unfairness in AI Anti-Corruption Tools: Main Drivers and Consequences.Fernanda Odilla - 2024 - Minds and Machines 34 (3):1-35.details
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Turning biases into hypotheses through method: A logic of scientific discovery for machine learning.Maja Bak Herrie & Simon Aagaard Enni - 2021 - Big Data and Society 8 (1).details
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Getting into the engine room: a blueprint to investigate the shadowy steps of AI ethics.Johan Rochel & Florian Evéquoz - 2021 - AI and Society 36 (2):609-622.details
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Personal Data v. Big Data in the EU: Control Lost, Discrimination Found.Maria Bottis & George Bouchagiar - 2018 - Open Journal of Philosophy 8 (3):192-205.details
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From FAIR data to fair data use: Methodological data fairness in health-related social media research.Hywel Williams, Lora Fleming, Benedict W. Wheeler, Rebecca Lovell & Sabina Leonelli - 2021 - Big Data and Society 8 (1).details
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Governing algorithmic decisions: The role of decision importance and governance on perceived legitimacy of algorithmic decisions.Kirsten Martin & Ari Waldman - 2022 - Big Data and Society 9 (1).details
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Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning.Thilo Hagendorff - 2021 - Minds and Machines 31 (4):563-593.details
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